System Optimization using Optimus & SimulationX

A 60 minutes on-demand webinar showing how Optimus leverages SimulationX capabilities.

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WHAT WE'LL SHOW YOU DURING THIS WEBINAR

SimulationX core applications include modeling and simulation of mechatronic systems in aerospace, automotive and ground transportation, mobile machinery, industrial machinery, energy technology, marine technology, ...

In this webinar, we will show you how to optimize the parameters of a controller with the help of system simulation using SimulationX and Optimus in order to identify product designs that meet a combination of objectives set by multiple performance targets

Flexible modeling of multiphysical systems

Based on the open Modelica standard, SimulationX offers a modeling platform that can easily be customized to specific needs and development tasks. That platform includes a vast number of different model libraries from various physical domains which can be used, for example, to combine mechanical components with elements from fluid power or control engineering. SimulationX' many base elements, as well as its numerous complex application models, allow for sheer endless possibilities during the modeling process.

Efficient optimization of multiphysical systems

Optimus orchestrates parametric simulation campaigns involving SimulationX, freeing users from repetitive manual model changes and data processing. Using Optimus, engineering teams quickly identify product designs that meet a combination of objectives set by multiple (often competing) performance targets. At the same time, design constraints imposed by manufacturing realities are consistently taken into account.

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Optimus is used to set up a repeatable SimulationX workflow and run multiphysics simulations without any manual intervention.

Optimus smartly samples the design space using Design of Experiments (DOE), providing a focus on high-impact design changes.

Optimus even takes advantage of computing resources in a parallel setup, running virtual experiments at a minimum simulation cost.

SimulationX models can be condensed by Optimus into surrogate models (or RSMs) that are well suited for ultra-fast system optimization.

Surrogate models can be exported as Functional Mockup Units (FMUs) from Optimus, and be used as simulation blocks inside SimulationX.

Optimus' clever optimization algorithms deliver a set of Pareto-optimal solutions, among which engineers can choose the best fit.

Find out much more

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